{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/8128e4d1cfa447abb95a9aa256175c9b\" frameborder=\"0\" width=\"1670\" height=\"1252\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1252,"width":1670,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1252,"thumbnail_width":1670,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/8128e4d1cfa447abb95a9aa256175c9b-3f9163f5a0948fda.gif","duration":199.297,"title":"Endava Assistant Demo","description":"Hi, I am Alejandro Perez from Indaba with Andrew McCallion and Edward Lushen. We are building a solution to collect and centralize project metadata so an NCP server can power an UI that helps users use an LLM to create case studies of previous implementations. We planned in MIRA, then used codecs to define the project documentation and implementation plan. We implemented a fully functional frontend, an NCP server querying SOPRBase, and an ingestion phase using mock data for live functionality due to authentication needs. There is no action requested from viewers in this message."}